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Record W2975499512 · doi:10.14740/jmc3348

Clearing the Dust-Off <i>Abiotrophia defectiva</i>

2019· article· en· W2975499512 on OpenAlexvenueno aff
Najmus Sahar, John S. Czachor, Mohammad Moin Shahid

Bibliographic record

VenueJournal of Medical Cases · 2019
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEndocarditisInfective endocarditisCeftriaxoneGentamicinFastidious organismTransesophageal echocardiogramBacteremiaPenicillinInternal medicineAntibioticsMicrobiologyBacteria

Abstract

fetched live from OpenAlex

Abiotrophia defectiva (ABI), a nutritional variant Streptococcus (NVS), is an uncommon cause of infective endocarditis (IE) involving both native and prosthetic heart valves. Due to the fastidious nature and special nutritional requirements, contribution of ABI to IE had been underestimated. Here we describe a case of Abiotrophia spp. native valve endocarditis in a 40-year-old female intravenous drug user who did not have any other potential source of infection. Blood cultures grew ABI along with Acinetobacter spp. perhaps from licking the needle before injecting. Transesophageal echocardiogram showed mobile vegetations attached to tricuspid and mitral valves. Susceptibility testing is important due to underlying differences in susceptibility to both penicillin and ceftriaxone between ABI and other genera of NVS, though both antibiotics are recommended alternate empiric first-line therapies along with synergistic gentamicin use in accordance with established guidelines to treat NVS endocarditis. She was successfully treated with intravenous ceftriaxone and gentamicin for 6 weeks with clinical and echocardiographic resolution of IE. This case highlights the importance of modern microbial techniques and equipment for accurate and rapid identification of challenging pathogens. J Med Cases. 2019;10(9):277-279 doi: https://doi.org/10.14740/jmc3348

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.296
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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